{"title":"利用新型Bat算法降低定位误差的CRN中PUE攻击检测","authors":"Aasia Rehman, D. Prakash","doi":"10.4018/IJWNBT.2017070101","DOIUrl":null,"url":null,"abstract":"CognitiveRadioNetworkTechnologymakestheefficientutilizationofscarcespectrumresources byallowingtheunlicenseduserstoopportunisticallyusethelicensedspectrum.CognitiveRadio Networkduetoitsflexibleandopennatureisvulnerabletoanumberofsecurityattacks.Thispaper ismainlyconcernedwithoneofthephysicallayerattackcalledPrimaryUserEmulationAttackand itsdetection.ThispapersolvestheproblemofPUEattackbylocalizationtechniquebasedonTDOA measurementswithreducederrorinlocationestimationusingaNovelBatAlgorithm(NBA).Anumber ofcooperativesecondaryusersareusedfordetectingthePUEAbycomparingitsestimatedposition withtheknownpositionofincumbent.ThemaingoalofNBAistominimizetwofitnessfunctions namelynon-linearleastsquareandthemaximumlikelihoodinordertooptimizetheestimationerror. Afterevaluation,simulationresultsclearlydemonstratesthatNBAresultsinreducedestimationerror ascomparedtoTaylorSeriesEstimationandParticleSwarmOptimization. KEyWoRDS Cognitive Radio, Cognitive Radio Networks, Maximum Likelihood, Non-Linear Least Square, Novel Bat Algorithm, Primary User Emulation Attack, Taylor Series Estimation, Time Difference of Arrival","PeriodicalId":422249,"journal":{"name":"Int. J. Wirel. Networks Broadband Technol.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Detection of PUE Attack in CRN with Reduced Error in Location Estimation Using Novel Bat Algorithm\",\"authors\":\"Aasia Rehman, D. Prakash\",\"doi\":\"10.4018/IJWNBT.2017070101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CognitiveRadioNetworkTechnologymakestheefficientutilizationofscarcespectrumresources byallowingtheunlicenseduserstoopportunisticallyusethelicensedspectrum.CognitiveRadio Networkduetoitsflexibleandopennatureisvulnerabletoanumberofsecurityattacks.Thispaper ismainlyconcernedwithoneofthephysicallayerattackcalledPrimaryUserEmulationAttackand itsdetection.ThispapersolvestheproblemofPUEattackbylocalizationtechniquebasedonTDOA measurementswithreducederrorinlocationestimationusingaNovelBatAlgorithm(NBA).Anumber ofcooperativesecondaryusersareusedfordetectingthePUEAbycomparingitsestimatedposition withtheknownpositionofincumbent.ThemaingoalofNBAistominimizetwofitnessfunctions namelynon-linearleastsquareandthemaximumlikelihoodinordertooptimizetheestimationerror. Afterevaluation,simulationresultsclearlydemonstratesthatNBAresultsinreducedestimationerror ascomparedtoTaylorSeriesEstimationandParticleSwarmOptimization. KEyWoRDS Cognitive Radio, Cognitive Radio Networks, Maximum Likelihood, Non-Linear Least Square, Novel Bat Algorithm, Primary User Emulation Attack, Taylor Series Estimation, Time Difference of Arrival\",\"PeriodicalId\":422249,\"journal\":{\"name\":\"Int. J. Wirel. Networks Broadband Technol.\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Wirel. Networks Broadband Technol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJWNBT.2017070101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Wirel. Networks Broadband Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJWNBT.2017070101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of PUE Attack in CRN with Reduced Error in Location Estimation Using Novel Bat Algorithm
CognitiveRadioNetworkTechnologymakestheefficientutilizationofscarcespectrumresources byallowingtheunlicenseduserstoopportunisticallyusethelicensedspectrum.CognitiveRadio Networkduetoitsflexibleandopennatureisvulnerabletoanumberofsecurityattacks.Thispaper ismainlyconcernedwithoneofthephysicallayerattackcalledPrimaryUserEmulationAttackand itsdetection.ThispapersolvestheproblemofPUEattackbylocalizationtechniquebasedonTDOA measurementswithreducederrorinlocationestimationusingaNovelBatAlgorithm(NBA).Anumber ofcooperativesecondaryusersareusedfordetectingthePUEAbycomparingitsestimatedposition withtheknownpositionofincumbent.ThemaingoalofNBAistominimizetwofitnessfunctions namelynon-linearleastsquareandthemaximumlikelihoodinordertooptimizetheestimationerror. Afterevaluation,simulationresultsclearlydemonstratesthatNBAresultsinreducedestimationerror ascomparedtoTaylorSeriesEstimationandParticleSwarmOptimization. KEyWoRDS Cognitive Radio, Cognitive Radio Networks, Maximum Likelihood, Non-Linear Least Square, Novel Bat Algorithm, Primary User Emulation Attack, Taylor Series Estimation, Time Difference of Arrival
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
